A Robot Localization Framework Using CNNs for Object Detection and Pose Estimation. - Lukas Hoyer; Christoph Steup; Sanaz Mostaghim (SSCI, 2018)

Short-Term Prediction and Multi-Camera Fusion on Semantic Grids. - Lukas Hoyer; Patrick Kesper; Anna Khoreva; Volker Fischer 003 (ICCV Workshops, 2019)

Grid Saliency for Context Explanations of Semantic Segmentation. - Lukas Hoyer; Mauricio Munoz; Prateek Katiyar; Anna Khoreva; Volker Fischer 003 (NeurIPS, 2019)

Short-Term Prediction and Multi-Camera Fusion on Semantic Grids. - Lukas Hoyer; Patrick Kesper; Volker Fischer 003 (CoRR, 2019)

Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation. - Lukas Hoyer; Dengxin Dai; Yuhua Chen; Adrian Köring; Suman Saha 001; Luc Van Gool (CVPR, 2021)

Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. - Qin Wang 013; Dengxin Dai; Lukas Hoyer; Luc Van Gool; Olga Fink (ICCV, 2021)

DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation. - Lukas Hoyer; Dengxin Dai; Luc Van Gool (CVPR, 2022)

HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation. - Lukas Hoyer; Dengxin Dai; Luc Van Gool (ECCV (30), 2022)

MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation. - Lukas Hoyer; Dengxin Dai; Haoran Wang; Luc Van Gool (CVPR, 2023)

EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation. - Suman Saha 001; Lukas Hoyer; Anton Obukhov; Dengxin Dai; Luc Van Gool (ICCV, 2023)

LiDAR Meta Depth Completion. - Wolfgang Boettcher; Lukas Hoyer; Ozan Unal; Ke Li 021; Dengxin Dai (IROS, 2023)

LiDAR Meta Depth Completion. - Wolfgang Boettcher; Lukas Hoyer; Ozan Unal; Dengxin Dai (CoRR, 2023)

Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. - Lukas Hoyer; Dengxin Dai; Qin Wang 013; Yuhua Chen; Luc Van Gool (Int. J. Comput. Vis., 2023)

SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance. - Lukas Hoyer; David Joseph Tan; Muhammad Ferjad Naeem; Luc Van Gool; Federico Tombari (ECCV (39), 2024)

DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control. - Yuru Jia; Lukas Hoyer; Shengyu Huang; Tianfu Wang 006; Luc Van Gool; Konrad Schindler; Anton Obukhov (ECCV (39), 2024)

SILC: Improving Vision Language Pretraining with Self-distillation. - Muhammad Ferjad Naeem; Yongqin Xian; Xiaohua Zhai; Lukas Hoyer; Luc Van Gool; Federico Tombari (ECCV (21), 2024)

MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation. - Linyan Yang; Lukas Hoyer; Mark Weber; Tobias Fischer 004; Dengxin Dai; Laura Leal-Taixé; Marc Pollefeys; Daniel Cremers; Luc Van Gool (ECCV (39), 2024)

Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets. - Wolfgang Boettcher; Lukas Hoyer; Ozan Unal; Jan Eric Lenssen; Bernt Schiele (NeurIPS, 2024)

2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation. - Ozan Unal; Dengxin Dai; Lukas Hoyer; Yigit Baran Can; Luc Van Gool (WACV, 2024)

Domain-Robust Network Architectures and Training Strategies for Visual Scene Understanding. - Lukas Hoyer (2024)

Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation. - Lukas Hoyer; Dengxin Dai; Luc Van Gool (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

From Open-Vocabulary to Vocabulary-Free Semantic Segmentation. - Klara Reichard; Giulia Rizzoli; Stefano Gasperini; Lukas Hoyer; Pietro Zanuttigh; Nassir Navab; Federico Tombari (CoRR, 2025)

GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation. - Sohyun Lee; Yeho Gwon; Lukas Hoyer; Suha Kwak (CoRR, 2025)

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving. - Arpit Jadon; Haoran Wang; Phillip Thomas; Michael Stanley; S. Nathaniel Cibik; Rachel Laurat; Omar Maher; Lukas Hoyer; Ozan Unal; Dengxin Dai (CoRR, 2025)